Pruna P Video 2 Serverless API
Pruna's next-gen video model: text, image or audio in, 1080p video with native audio — dialogue, music and SFX — out.
POST /v2/p-video-2 · submit + poll 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
4
5# Async (v2) — recommended for long-running / video models.
6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
7# deadline and keeps the request_id so you can re-poll later.
8client = SegmindClient() # reads SEGMIND_API_KEY
9payload = {
10 "prompt": "A woman walking through a neon-lit Tokyo alley at night, slow tracking shot, rain reflecting the city lights, distant traffic and footsteps on wet pavement",
11 "resolution": "720p",
12 "duration": 5,
13 "aspect_ratio": "16:9",
14 "draft": False,
15 "fps": 24,
16 "save_audio": True,
17 "prompt_upsampling": True,
18 "seed": -1,
19}
20job = client.submit_async("p-video-2", **payload)
21print(job.request_id) # available immediately
22try:
23 result = job.wait(timeout=900, interval=2.0)
24 print(result["status"]) # COMPLETED
25 print(result.get("output")) # model output (e.g. video URL)
26except InferenceTimeout as e:
27 print("still running:", e.request_id) # re-poll later with this id
28except InferenceFailed as e:
29 print("failed:", e.detail)
30
31# Fast models (<=600s) can use the one-liner instead:
32# result = segmind.run("p-video-2", **payload) 1# pip install "segmind>=1.1.0"
2# export SEGMIND_API_KEY="YOUR_API_KEY"
3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
4
5# Async (v2) — recommended for long-running / video models.
6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
7# deadline and keeps the request_id so you can re-poll later.
8client = SegmindClient() # reads SEGMIND_API_KEY
9payload = {
10 "prompt": "A woman walking through a neon-lit Tokyo alley at night, slow tracking shot, rain reflecting the city lights, distant traffic and footsteps on wet pavement",
11 "resolution": "720p",
12 "duration": 5,
13 "aspect_ratio": "16:9",
14 "draft": False,
15 "fps": 24,
16 "save_audio": True,
17 "prompt_upsampling": True,
18 "seed": -1,
19}
20job = client.submit_async("p-video-2", **payload)
21print(job.request_id) # available immediately
22try:
23 result = job.wait(timeout=900, interval=2.0)
24 print(result["status"]) # COMPLETED
25 print(result.get("output")) # model output (e.g. video URL)
26except InferenceTimeout as e:
27 print("still running:", e.request_id) # re-poll later with this id
28except InferenceFailed as e:
29 print("failed:", e.detail)
30
31# Fast models (<=600s) can use the one-liner instead:
32# result = segmind.run("p-video-2", **payload)API Endpoint
https://api.segmind.com/v1/p-video-2Parameters
promptrequiredstringDescribe the scene, action, camera movement and sound. P Video 2 generates the audio with the video, so dialogue, music and sound effects can be prompted directly.
aspect_ratiooptionalstringOutput frame shape. Ignored when an input image is supplied, since the image sets the frame.
"16:9""16:9""9:16""4:3""3:4""3:2""2:3""1:1"audiooptionalstring (uri)Optional audio track (flac, mp3, wav) to condition the generation. The output matches the audio's length, so the duration setting is ignored when audio is supplied.
draftoptionalbooleanFaster, lower-quality preview for iterating on a prompt. Billed at roughly half the standard per-second rate.
falsedurationoptionalintegerLength of the generated video in seconds. Omit this field in an API call to let the model choose the length from your prompt; an audio input overrides it either way.
5Range: 1 - 20fpsoptionalintegerOutput frame rate. 48 fps gives smoother motion at the same per-second price.
242448imageoptionalstring (uri)Optional first-frame image to animate. Supplying one switches the model to image-to-video and overrides the aspect ratio, which is then taken from the image.
last_frame_imageoptionalstring (uri)Optional reference image for the final frame, to steer where the shot ends up.
prompt_upsamplingoptionalbooleanLet the model expand a short prompt into a richer description before generating.
trueresolutionoptionalstringOutput resolution. 1080p costs twice as much per second as 720p.
"720p""720p""1080p"save_audiooptionalbooleanKeep the generated audio track in the returned file. Turn off for a silent video.
trueseedoptionalintegerFixed seed for reproducible output. Use -1 for a new random result each run.
-1Range: -1 - 2147483647Response Type
Returns: Video
Asynchronous requests (v2)
Use Async for video, long-running (>~60s), or high-concurrency workloads; Sync is simplest for fast image & LLM calls. Async submits a request and you poll it to completion.
- 1
POST /v2/p-video-2Submit — returns request_id, status_url, response_url
- 2
GET /v2/requests/{id}/statusPoll — until COMPLETED or FAILED
- 3
GET /v2/requests/{id}Result — final response body
Status states
- A FAILED request is served as HTTP 422 — the body still carries the error detail.
- An unknown or expired request_id returns HTTP 404.
- Results are retained for 1 hour, then expire.
- Content / RAI blocks surface as FAILED, not a separate state.
- Track completion by polling the status endpoint.
Common Error Codes
The API returns standard HTTP status codes. Detailed error messages are provided in the response body.
Bad Request
Invalid parameters or request format
Unauthorized
Missing or invalid API key
Forbidden
Insufficient permissions
Not Found
Model or endpoint not found
Insufficient Credits
Not enough credits to process request
Rate Limited
Too many requests
Server Error
Internal server error
Bad Gateway
Service temporarily unavailable
Timeout
Request timed out